A data engineering team runs a custom data processing application on an EC2 instance. The application writes logs to a file in /var/log/myapp/. The team wants to automate the collection of these logs and send them to CloudWatch Logs for analysis. What should they do?

Install the unified CloudWatch agent on the EC2 instance and configure it to collect logs from /var/log/myapp/.

Enable CloudTrail for the EC2 instance to capture application logs.

Configure the application to send logs directly to CloudWatch Logs using the AWS SDK.

Use the AWS CLI to copy the log files to an S3 bucket and then use Athena to query them.

A data engineering team has a pipeline that uses Amazon EMR to process logs stored in S3. The logs are in JSON format and are partitioned by date. The team wants to analyze the logs to find errors that occurred on a specific date. They have enabled CloudTrail and CloudWatch Logs for the EMR cluster. Which approach is the most efficient for this analysis?

Use the EMR console to view the logs directly from the cluster's log files.

Use CloudTrail to search for API calls that might have caused the errors.

Use CloudWatch Logs Insights to query the EMR cluster's logs in CloudWatch Logs.

Use Athena to query the JSON logs directly in S3, filtering by the date partition.

A data platform team uses AWS Glue to run ETL jobs. They want to be alerted when a job fails, but they also want to avoid being paged for transient failures that are automatically retried. The Glue job has a retry policy of 2. What is the most effective way to configure the alert?

Create a CloudWatch alarm on the Glue job's 'Failed' metric with a period of 5 minutes and an SNS action.

Use an EventBridge rule that matches Glue job state changes to 'FAILED' and has a 'retryAttempt' of 2, then trigger an SNS topic.

Set up a CloudWatch Logs metric filter for 'ERROR' in the Glue job's log group and create an alarm on that metric.

Create an SNS topic and subscribe the team to it, then have the Glue job publish a message to the topic when it fails.

AWSCertified Data Engineer - Associate

Domain 3Objective 3

Task 3.3: Maintain and Monitor Data Pipelines DEA-C01 Practice Questions (Page 5)

Part of the Content Domain 3: Data Operations and Support domain, which accounts for 22% of the DEA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

8concepts

22%of the exam

Questions 21–25

21application · medium
A data engineering team runs a custom data processing application on an EC2 instance. The application writes logs to a file in /var/log/myapp/. The team wants to automate the collection of these logs and send them to CloudWatch Logs for analysis. What should they do?
Select an answer first
22foundation · easy
A data engineer needs to enable a centralized audit trail of all API activity across an AWS account to support pipeline traceability. Which AWS service should be configured to capture this information?
Select an answer first
23expert · medium
A data engineering team has a pipeline that uses Amazon EMR to process logs stored in S3. The logs are in JSON format and are partitioned by date. The team wants to analyze the logs to find errors that occurred on a specific date. They have enabled CloudTrail and CloudWatch Logs for the EMR cluster. Which approach is the most efficient for this analysis?
Select an answer first
24expert · hard
A data platform team uses AWS Glue to run ETL jobs. They want to be alerted when a job fails, but they also want to avoid being paged for transient failures that are automatically retried. The Glue job has a retry policy of 2. What is the most effective way to configure the alert?
Select an answer first
25foundation · easy
A data engineer needs to be notified when the CPU utilization of an EC2 instance exceeds 80% for 5 minutes. Which AWS feature should be used to trigger the notification?
Select an answer first

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Task 3.3: Maintain and Monitor Data Pipelines DEA-C01 Practice Questions (Page 5)

Questions 21–25

A data engineering team runs a custom data processing application on an EC2 instance. The application writes logs to a file in /var/log/myapp/. The team wants to automate the collection of these logs and send them to CloudWatch Logs for analysis. What should they do?

A data engineer needs to enable a centralized audit trail of all API activity across an AWS account to support pipeline traceability. Which AWS service should be configured to capture this information?

A data platform team uses AWS Glue to run ETL jobs. They want to be alerted when a job fails, but they also want to avoid being paged for transient failures that are automatically retried. The Glue job has a retry policy of 2. What is the most effective way to configure the alert?

A data engineer needs to be notified when the CPU utilization of an EC2 instance exceeds 80% for 5 minutes. Which AWS feature should be used to trigger the notification?

Keep studying — Content Domain 3: Data Operations and Support